Maximilian Nickel
About me I am interested in modeling and understanding complex systems via artificial intelligence, including networks, dynamics, emergence, and the interplay of AI with the social systems in which they are situated. For this purpose, I’m combining fundamental research on geometric representation learning, neural dynamical systems, and generative AI for complex systems.
Some things that I’ve done recently
- Program Chair for ICLR 2023 in Kigali, Rwanda; first major AI/ML conference located in Africa.
- Outstanding paper award at NeurIPS 2021 for our work on simulation-free generative modeling via Moser Flow.
- High-resolution COVID-19 forecasts, used by New Jersey and New York state response teams, highly weighted in CDC ensemble, incl. in reports to EU commission.
- Associate Editor for the ACM Journal for Computing and Sustainable Societies.
Some papers that I have published recently
- Three papers accepted at ICML’23
- Group fairness without demographics using social networks accepted and presented at FAccT’23 (Video)
Some History Since 2016, I am a research scientist at FAIR, Meta AI where I have also acted research scientist manager as well as research area lead for Machine Learning and Society & Responsible AI. Before joining FAIR, I was a postdoctoral fellow at MIT where I was with the Laboratory for Computational and Statistical Learning and the Center for Brains, Minds and Machines. I have received my PhD with summa cum laude from the Ludwig Maximilian University Munich as a research assistant at Siemens Corporate Technology.